[1]
|
Development and experimental validation of a prototype system for Machine Learning based SHM in composite aerostructures
Journal of Physics: Conference Series,
2024
DOI:10.1088/1742-6596/2692/1/012025
|
|
|
[2]
|
Local residual random forest classifier for strain-based damage detection and localization in aerospace sandwich structures
Composite Structures,
2023
DOI:10.1016/j.compstruct.2022.116331
|
|
|
[3]
|
European Workshop on Structural Health Monitoring
Lecture Notes in Civil Engineering,
2023
DOI:10.1007/978-3-031-07258-1_29
|
|
|
[4]
|
A framework for physics-driven generation of feature data for strain-based damage detection in aerospace sandwich structures
Journal of Composite Materials,
2022
DOI:10.1177/00219983221118632
|
|
|
[5]
|
Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties—a review
Smart Materials and Structures,
2021
DOI:10.1088/1361-665X/ac099f
|
|
|
[6]
|
Spatial Damage Prediction in Composite Materials Using Multipath Ultrasonic Monitoring, Advanced Signal Feature Selection and a Combined Classifying–Regression Artificial Neural Network
The 8th International Electronic Conference on Sensors and Applications,
2021
DOI:10.3390/ecsa-8-11283
|
|
|
[7]
|
Strain based method for monitoring the health state of composite structures
Composites Part B: Engineering,
2019
DOI:10.1016/j.compositesb.2019.107253
|
|
|
[8]
|
Assessing Static and Dynamic Response Variability due to Parametric Uncertainty on Fibre-Reinforced Composites
Journal of Composites Science,
2018
DOI:10.3390/jcs2010006
|
|
|
[9]
|
Vibration-based damage detection for a population of nominally identical structures: Unsupervised Multiple Model (MM) statistical time series type methods
Mechanical Systems and Signal Processing,
2018
DOI:10.1016/j.ymssp.2018.03.054
|
|
|
[10]
|
The use of intelligent computational tools for damage detection and identification with an emphasis on composites – A review
Composite Structures,
2018
DOI:10.1016/j.compstruct.2018.05.002
|
|
|
[11]
|
A Gaussian process–based approach to cope with uncertainty in structural health monitoring
Structural Health Monitoring: An International Journal,
2017
DOI:10.1177/1475921716669722
|
|
|
[12]
|
A novel approach to analyze impact damage in composite structures using optical flow cross correlation with neural networks (N-OFCC)
2017 Computing Conference,
2017
DOI:10.1109/SAI.2017.8252160
|
|
|